The functional neuroanatomy of autobiographical memory (AM) was investigated through a meta-analysis of 24 functional imaging studies. The results identified a core neural network of left-lateralized regions, including the medial and ventrolateral prefrontal, medial and lateral temporal, retrosplenial/posterior cingulate cortices, temporoparietal junction, and cerebellum. Secondary and tertiary regions were also identified. The study examined the neural correlates of component processes in AM, including executive functions, self-reflection, episodic remembering, and visuospatial processing. It also analyzed the effect of variables such as memory age, qualitative factors, semantic and emotional content, and reference conditions on the AM network. The findings support a neural distinction between episodic and semantic memory in AM. Emotional events produced a shift in lateralization of the AM network, with activation observed in emotion-centered regions and deactivation in regions associated with cognitive processes. The study highlights the importance of considering the specificity of retrieval cues and the quality of recollective experience in interpreting AM neuroimaging data. The results suggest that the core AM network involves a complex interplay of brain regions, with activation patterns influenced by factors such as memory age, emotional content, and the type of reference condition used. The study also emphasizes the need for further research to understand the role of these factors in shaping the neural basis of AM.The functional neuroanatomy of autobiographical memory (AM) was investigated through a meta-analysis of 24 functional imaging studies. The results identified a core neural network of left-lateralized regions, including the medial and ventrolateral prefrontal, medial and lateral temporal, retrosplenial/posterior cingulate cortices, temporoparietal junction, and cerebellum. Secondary and tertiary regions were also identified. The study examined the neural correlates of component processes in AM, including executive functions, self-reflection, episodic remembering, and visuospatial processing. It also analyzed the effect of variables such as memory age, qualitative factors, semantic and emotional content, and reference conditions on the AM network. The findings support a neural distinction between episodic and semantic memory in AM. Emotional events produced a shift in lateralization of the AM network, with activation observed in emotion-centered regions and deactivation in regions associated with cognitive processes. The study highlights the importance of considering the specificity of retrieval cues and the quality of recollective experience in interpreting AM neuroimaging data. The results suggest that the core AM network involves a complex interplay of brain regions, with activation patterns influenced by factors such as memory age, emotional content, and the type of reference condition used. The study also emphasizes the need for further research to understand the role of these factors in shaping the neural basis of AM.